MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13716
Single Precision Score
16071
Half Precision Score
14930
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 15 2026 04:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
6284
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6984
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
6492
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10834
175.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11880
192.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11477
186.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
43739
51.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
49356
57.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
47520
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
6119
485.4 IPS |
|
|
Object Detection (HP)
|
100% |
6524
517.5 IPS |
|
|
Object Detection (Q)
|
91% |
6248
499.3 IPS |
|
|
Face Detection (SP)
|
100% |
18081
214.8 IPS |
|
|
Face Detection (HP)
|
100% |
23831
283.2 IPS |
|
|
Face Detection (Q)
|
100% |
22398
266.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28525
219.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30326
233.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
28438
222.5 IPS |
|
|
Style Transfer (SP)
|
100% |
90826
116.8 IPS |
|
|
Style Transfer (HP)
|
100% |
107165
137.8 IPS |
|
|
Style Transfer (Q)
|
96% |
103271
133.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15396
568.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16309
602.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13694
505.7 IPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
5137
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5122
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5960
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6631
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5392
93.2 IPS |
