MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4186
Single Precision Score
30279
Half Precision Score
33881
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tamyururu |
| Upload Date | March 16 2025 06:46 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1597
296.9 IPS |
|
|
Image Classification (HP)
|
100% |
16013
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
17982
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1934
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22072
357.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
27200
440.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8980
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121003
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120144
140.8 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
17447
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
19729
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
38714
460.0 IPS |
|
|
Face Detection (Q)
|
100% |
50536
600.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7251
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96793
745.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
120371
941.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22455
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
226958
291.8 IPS |
|
|
Style Transfer (Q)
|
96% |
219147
282.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5292
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44234
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54490
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2783
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4943
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4928
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4670
80.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4804
83.0 IPS |
