MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4035
Single Precision Score
30655
Half Precision Score
34012
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 01:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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% |
1535
285.5 IPS |
|
|
Image Classification (HP)
|
100% |
15120
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
17279
3.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1893
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22692
367.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
28201
457.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8376
9.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
120378
140.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118953
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
1719
136.3 IPS |
|
|
Object Detection (HP)
|
100% |
17664
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
19988
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
3620
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
39183
465.6 IPS |
|
|
Face Detection (Q)
|
100% |
51559
612.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7089
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
95931
739.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
117975
922.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21946
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
226421
291.1 IPS |
|
|
Style Transfer (Q)
|
96% |
218818
282.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47376
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52464
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5097
6.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5011
6.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4888
84.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5111
88.3 IPS |
