MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11841
Single Precision Score
13827
Half Precision Score
12316
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | chimpur |
| Upload Date | November 14 2024 06:14 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6081
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6529
1.21 KIPS |
|
|
Image Classification (Q)
|
97% |
5363
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7530
122.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9939
161.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10531
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
45353
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48322
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45570
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
6103
484.1 IPS |
|
|
Object Detection (HP)
|
100% |
6371
505.4 IPS |
|
|
Object Detection (Q)
|
91% |
5300
423.5 IPS |
|
|
Face Detection (SP)
|
100% |
17096
203.1 IPS |
|
|
Face Detection (HP)
|
100% |
21378
254.0 IPS |
|
|
Face Detection (Q)
|
100% |
16200
192.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27023
208.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
31242
240.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
25547
199.7 IPS |
|
|
Style Transfer (SP)
|
100% |
92231
118.6 IPS |
|
|
Style Transfer (HP)
|
100% |
105982
136.2 IPS |
|
|
Style Transfer (Q)
|
96% |
97947
126.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15986
590.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16386
605.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13263
489.7 IPS |
|
|
Text Classification (SP)
|
100% |
2756
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4764
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4720
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2279
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2321
40.1 IPS |
