MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11773
Single Precision Score
13674
Half Precision Score
12241
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Chineezze |
| Upload Date | March 19 2025 10:37 AM |
| Views | 8 |
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% |
5968
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6471
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
5484
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7557
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9989
161.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10545
170.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45381
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48249
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45660
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6000
476.0 IPS |
|
|
Object Detection (HP)
|
100% |
6408
508.3 IPS |
|
|
Object Detection (Q)
|
91% |
5339
426.6 IPS |
|
|
Face Detection (SP)
|
100% |
16910
200.9 IPS |
|
|
Face Detection (HP)
|
100% |
21233
252.3 IPS |
|
|
Face Detection (Q)
|
100% |
16219
192.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27396
211.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29845
229.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
25874
202.2 IPS |
|
|
Style Transfer (SP)
|
100% |
92569
119.0 IPS |
|
|
Style Transfer (HP)
|
100% |
106036
136.3 IPS |
|
|
Style Transfer (Q)
|
96% |
98771
127.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14957
552.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16388
605.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12410
458.2 IPS |
|
|
Text Classification (SP)
|
100% |
2794
3.73 KIPS |
|
|
Text Classification (HP)
|
100% |
4821
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4933
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2326
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2155
37.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2112
36.5 IPS |
