MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11634
Single Precision Score
13906
Half Precision Score
12356
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kducarmont |
| Upload Date | January 27 2025 08:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6006
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6656
1.24 KIPS |
|
|
Image Classification (Q)
|
97% |
5411
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7494
121.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9959
161.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10477
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45282
52.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
48335
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45714
53.6 IPS |
|
|
Object Detection (SP)
|
100% |
6033
478.6 IPS |
|
|
Object Detection (HP)
|
100% |
6463
512.6 IPS |
|
|
Object Detection (Q)
|
91% |
5407
432.1 IPS |
|
|
Face Detection (SP)
|
100% |
17025
202.3 IPS |
|
|
Face Detection (HP)
|
100% |
21166
251.5 IPS |
|
|
Face Detection (Q)
|
100% |
16238
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
26934
207.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29895
230.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
25545
199.6 IPS |
|
|
Style Transfer (SP)
|
100% |
92838
119.3 IPS |
|
|
Style Transfer (HP)
|
100% |
105853
136.1 IPS |
|
|
Style Transfer (Q)
|
96% |
98601
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15006
554.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16436
606.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12306
454.4 IPS |
|
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4789
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4771
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2081
35.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2466
42.6 IPS |
