MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4162
Single Precision Score
30197
Half Precision Score
33806
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kducarmont |
| Upload Date | January 27 2025 09:02 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1590
295.7 IPS |
|
|
Image Classification (HP)
|
100% |
16133
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
17396
3.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22169
359.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27089
439.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8983
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121026
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
119213
139.7 IPS |
|
|
Object Detection (SP)
|
100% |
1842
146.1 IPS |
|
|
Object Detection (HP)
|
100% |
17316
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
19914
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
37530
445.9 IPS |
|
|
Face Detection (Q)
|
100% |
50470
599.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7238
55.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
97371
750.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
121446
949.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22198
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
225868
290.4 IPS |
|
|
Style Transfer (Q)
|
96% |
218772
282.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45758
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56108
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2840
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4776
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4749
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3514
60.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4664
80.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4878
84.3 IPS |
