MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11655
Single Precision Score
13861
Half Precision Score
12366
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | robn |
| Upload Date | April 04 2025 09:00 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
6073
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6474
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
5533
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7494
121.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9961
161.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10442
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
45297
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48353
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45555
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
6010
476.7 IPS |
|
|
Object Detection (HP)
|
100% |
6437
510.6 IPS |
|
|
Object Detection (Q)
|
91% |
5338
426.5 IPS |
|
|
Face Detection (SP)
|
100% |
17106
203.3 IPS |
|
|
Face Detection (HP)
|
100% |
21346
253.6 IPS |
|
|
Face Detection (Q)
|
100% |
16186
192.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27147
209.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29836
229.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
25635
200.3 IPS |
|
|
Style Transfer (SP)
|
100% |
92478
118.9 IPS |
|
|
Style Transfer (HP)
|
100% |
105627
135.8 IPS |
|
|
Style Transfer (Q)
|
96% |
98659
127.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15001
553.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16350
603.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12206
450.7 IPS |
|
|
Text Classification (SP)
|
100% |
2840
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4822
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4869
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2042
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2447
42.3 IPS |
