MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11691
Single Precision Score
13668
Half Precision Score
12265
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 23 2024 08:18 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% |
6029
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6472
1.20 KIPS |
|
|
Image Classification (Q)
|
97% |
5545
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7528
122.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9970
161.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10471
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
45363
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48205
56.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
45658
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
6183
490.4 IPS |
|
|
Object Detection (HP)
|
100% |
6395
507.2 IPS |
|
|
Object Detection (Q)
|
91% |
5408
432.1 IPS |
|
|
Face Detection (SP)
|
100% |
17065
202.8 IPS |
|
|
Face Detection (HP)
|
100% |
20475
243.3 IPS |
|
|
Face Detection (Q)
|
100% |
16176
192.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27216
209.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29839
229.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
24836
194.1 IPS |
|
|
Style Transfer (SP)
|
100% |
92438
118.8 IPS |
|
|
Style Transfer (HP)
|
100% |
105521
135.6 IPS |
|
|
Style Transfer (Q)
|
96% |
99288
128.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15251
563.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16730
617.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12397
457.8 IPS |
|
|
Text Classification (SP)
|
100% |
2782
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4880
6.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4803
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2174
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2264
39.1 IPS |
