MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
10586
Single Precision Score
11063
Half Precision Score
3525
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | teotwawk |
| Upload Date | April 22 2025 08:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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% |
5788
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
6123
1.14 KIPS |
|
|
Image Classification (Q)
|
97% |
4779
891.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7672
124.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9728
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9909
160.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45234
52.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48249
56.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
43791
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
5824
462.0 IPS |
|
|
Object Detection (HP)
|
100% |
6110
484.7 IPS |
|
|
Object Detection (Q)
|
92% |
4935
393.9 IPS |
|
|
Face Detection (SP)
|
100% |
16035
190.5 IPS |
|
|
Face Detection (HP)
|
100% |
19555
232.4 IPS |
|
|
Face Detection (Q)
|
100% |
14337
170.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27205
209.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
30655
236.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
190.8 IPS |
|
|
Style Transfer (SP)
|
100% |
92592
119.0 IPS |
|
|
Style Transfer (HP)
|
100% |
106574
137.0 IPS |
|
|
Style Transfer (Q)
|
96% |
97272
125.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14742
544.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16334
603.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11930
440.5 IPS |
|
|
Text Classification (SP)
|
100% |
1701
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
966
1.29 KIPS |
|
|
Text Classification (Q)
|
93% |
957
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1818
31.4 IPS |
