MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
11704
Single Precision Score
13642
Half Precision Score
11986
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | GPV67 |
| Upload Date | December 03 2024 11:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
5942
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
6374
1.19 KIPS |
|
|
Image Classification (Q)
|
97% |
5381
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7474
121.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9873
160.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10522
170.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45198
52.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
48068
56.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
45555
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
5980
474.3 IPS |
|
|
Object Detection (HP)
|
100% |
6288
498.8 IPS |
|
|
Object Detection (Q)
|
91% |
5321
425.2 IPS |
|
|
Face Detection (SP)
|
100% |
17012
202.1 IPS |
|
|
Face Detection (HP)
|
100% |
20724
246.2 IPS |
|
|
Face Detection (Q)
|
100% |
15875
188.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27331
210.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29785
229.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
25543
199.6 IPS |
|
|
Style Transfer (SP)
|
100% |
91951
118.2 IPS |
|
|
Style Transfer (HP)
|
100% |
105446
135.6 IPS |
|
|
Style Transfer (Q)
|
96% |
97915
126.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14990
553.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16240
599.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12251
452.4 IPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4775
6.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4741
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2327
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1934
33.4 IPS |
