MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4179
Single Precision Score
31566
Half Precision Score
35436
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | opinali |
| Upload Date | May 01 2025 03:33 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.8 IPS |
|
|
Image Classification (HP)
|
100% |
17609
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
19683
3.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22910
371.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28531
462.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9019
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123091
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
121421
142.3 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
18284
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
21010
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
39377
467.9 IPS |
|
|
Face Detection (Q)
|
100% |
51115
607.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7111
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97977
754.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
123037
962.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22298
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
227377
292.3 IPS |
|
|
Style Transfer (Q)
|
96% |
221952
286.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48308
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57635
2.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2880
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5173
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5164
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3437
59.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4935
85.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5247
90.7 IPS |
