MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8351
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 23 2024 09:03 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.2 (Build 23B2091) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4209
787.5 IPS |
|
|
Image Classification (F16)
|
100% |
7409
1.39 KIPS |
|
|
Image Classification (I8)
|
99% |
8074
1.51 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1783
29.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2152
35.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2123
35.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
23769
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
96150
116.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
97706
118.3 IPS |
|
|
Object Detection (F32)
|
100% |
3246
242.4 IPS |
|
|
Object Detection (F16)
|
100% |
5221
389.8 IPS |
|
|
Object Detection (I8)
|
97% |
3031
226.3 IPS |
|
|
Face Detection (F32)
|
100% |
10747
127.8 IPS |
|
|
Face Detection (F16)
|
97% |
14825
176.3 IPS |
|
|
Face Detection (I8)
|
96% |
14326
170.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
18145
140.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
44723
346.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
43225
335.2 IPS |
|
|
Style Transfer (F32)
|
100% |
49583
65.2 IPS |
|
|
Style Transfer (F16)
|
100% |
148131
194.9 IPS |
|
|
Style Transfer (I8)
|
100% |
148601
195.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8280
295.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
21359
762.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20853
744.7 IPS |
|
|
Text Classification (F32)
|
100% |
479
688.1 IPS |
|
|
Text Classification (F16)
|
100% |
691
993.3 IPS |
|
|
Text Classification (I8)
|
96% |
691
992.8 IPS |
|
|
Machine Translation (F32)
|
100% |
935
17.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3256
59.9 IPS |
|
|
Machine Translation (I8)
|
99% |
853
15.7 IPS |
