MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11888
Single Precision Score
13955
Half Precision Score
12155
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| 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% |
6019
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6525
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5505
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7511
121.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10005
162.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10433
169.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45378
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48393
56.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
45610
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6001
476.0 IPS |
|
|
Object Detection (HP)
|
100% |
6424
509.5 IPS |
|
|
Object Detection (Q)
|
91% |
5330
425.9 IPS |
|
|
Face Detection (SP)
|
100% |
16996
202.0 IPS |
|
|
Face Detection (HP)
|
100% |
21794
259.0 IPS |
|
|
Face Detection (Q)
|
100% |
16238
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27206
209.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29864
230.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
25062
195.9 IPS |
|
|
Style Transfer (SP)
|
100% |
92513
118.9 IPS |
|
|
Style Transfer (HP)
|
100% |
106234
136.6 IPS |
|
|
Style Transfer (Q)
|
96% |
98567
127.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16131
595.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16639
614.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12478
460.8 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
4876
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4842
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2331
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2081
36.0 IPS |
