MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
2393
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:43 AM |
| Views | 32 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1158
216.7 IPS |
|
|
Image Classification (F16)
|
100% |
1131
211.6 IPS |
|
|
Image Classification (I8)
|
99% |
1138
212.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
717
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
658
11.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
654
10.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
14845
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
19485
23.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
18834
22.8 IPS |
|
|
Object Detection (F32)
|
100% |
1204
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
1315
98.2 IPS |
|
|
Object Detection (I8)
|
97% |
1200
89.6 IPS |
|
|
Face Detection (F32)
|
100% |
2386
28.4 IPS |
|
|
Face Detection (F16)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (I8)
|
99% |
2161
25.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4494
34.9 IPS |
|
|
Depth Estimation (F16)
|
99% |
4274
33.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
4224
32.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16036
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
16364
21.5 IPS |
|
|
Style Transfer (I8)
|
100% |
16256
21.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3253
116.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2826
100.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2853
101.9 IPS |
|
|
Text Classification (F32)
|
100% |
695
998.9 IPS |
|
|
Text Classification (F16)
|
100% |
577
829.7 IPS |
|
|
Text Classification (I8)
|
96% |
751
1.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1203
22.1 IPS |
|
|
Machine Translation (F16)
|
99% |
1187
21.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1136
20.9 IPS |
