MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4145
Single Precision Score
30628
Half Precision Score
35100
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | computerguru03 |
| Upload Date | May 26 2025 01:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1598
297.2 IPS |
|
|
Image Classification (HP)
|
100% |
16454
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
19329
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1861
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22095
358.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27882
452.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9012
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122171
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
120496
141.2 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
100% |
17260
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
20738
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
38959
462.9 IPS |
|
|
Face Detection (Q)
|
100% |
52060
618.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7166
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97036
747.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
120694
943.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22224
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
225916
290.4 IPS |
|
|
Style Transfer (Q)
|
96% |
219115
282.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5283
195.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44542
1.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
57244
2.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2878
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5133
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5132
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5212
90.1 IPS |
