MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
4189
Single Precision Score
27990
Half Precision Score
31012
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | tellumo |
| Upload Date | September 20 2024 12:40 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1610
299.4 IPS |
|
|
Image Classification (HP)
|
100% |
16009
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
20125
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1886
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16348
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19358
313.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9044
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
121753
142.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
120818
141.6 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
17349
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
20192
1.61 KIPS |
|
|
Face Detection (SP)
|
100% |
3802
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
39353
467.6 IPS |
|
|
Face Detection (Q)
|
100% |
45022
535.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7310
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
96931
746.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
122694
959.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22505
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
226524
291.2 IPS |
|
|
Style Transfer (Q)
|
96% |
219258
282.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46170
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54446
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2797
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4915
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4876
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2693
46.5 IPS |
