MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
9008
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:47 AM |
| Views | 23 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.2 (Build 23B2091) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6381
1.19 KIPS |
|
|
Image Classification (F16)
|
100% |
6190
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
5661
1.06 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2818
47.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2878
48.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2807
46.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
62032
75.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
64964
78.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
62674
75.9 IPS |
|
|
Object Detection (F32)
|
100% |
4873
363.8 IPS |
|
|
Object Detection (F16)
|
100% |
4918
367.1 IPS |
|
|
Object Detection (I8)
|
97% |
4769
356.1 IPS |
|
|
Face Detection (F32)
|
100% |
21507
255.7 IPS |
|
|
Face Detection (F16)
|
97% |
22539
268.0 IPS |
|
|
Face Detection (I8)
|
96% |
20069
238.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
30066
233.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
31614
245.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
30080
233.3 IPS |
|
|
Style Transfer (F32)
|
100% |
127230
167.4 IPS |
|
|
Style Transfer (F16)
|
100% |
142211
187.1 IPS |
|
|
Style Transfer (I8)
|
100% |
135251
177.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
9106
325.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9323
332.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9926
354.5 IPS |
|
|
Text Classification (F32)
|
100% |
579
832.7 IPS |
|
|
Text Classification (F16)
|
100% |
688
989.1 IPS |
|
|
Text Classification (I8)
|
96% |
830
1.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
1163
21.4 IPS |
|
|
Machine Translation (F16)
|
99% |
1185
21.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1135
20.9 IPS |
