MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4069
Single Precision Score
30605
Half Precision Score
34034
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | itroos |
| Upload Date | December 11 2025 11:47 AM |
| Views | 20 |
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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1561
290.4 IPS |
|
|
Image Classification (HP)
|
100% |
15733
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
17924
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1866
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22814
369.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26594
431.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8443
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
121152
141.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
119997
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
1736
137.7 IPS |
|
|
Object Detection (HP)
|
100% |
17187
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
19617
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
39615
470.7 IPS |
|
|
Face Detection (Q)
|
100% |
51914
616.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97104
748.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
120653
943.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22183
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
226261
290.9 IPS |
|
|
Style Transfer (Q)
|
96% |
218111
281.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4845
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45453
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53216
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
4989
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5018
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3386
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4889
84.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5095
88.1 IPS |
