MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4072
Single Precision Score
30485
Half Precision Score
34305
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 22 2025 07:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.06 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1568
291.6 IPS |
|
|
Image Classification (HP)
|
100% |
15832
2.94 KIPS |
|
|
Image Classification (Q)
|
97% |
17863
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22811
369.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
28288
458.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8459
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
121226
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
121162
142.0 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
16795
1.33 KIPS |
|
|
Object Detection (Q)
|
91% |
19027
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3745
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
39666
471.3 IPS |
|
|
Face Detection (Q)
|
100% |
52364
622.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7164
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
96217
741.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
119898
937.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22182
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
226027
290.6 IPS |
|
|
Style Transfer (Q)
|
96% |
219276
283.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4877
180.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43721
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53194
1.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5111
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4984
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4892
84.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5309
91.7 IPS |
