MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
11804
Single Precision Score
13928
Half Precision Score
12129
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | October 31 2024 04:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
5979
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6538
1.22 KIPS |
|
|
Image Classification (Q)
|
97% |
5447
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7456
120.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10000
162.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10474
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
45402
53.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48270
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45785
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6102
484.0 IPS |
|
|
Object Detection (HP)
|
100% |
6518
517.0 IPS |
|
|
Object Detection (Q)
|
91% |
5455
435.9 IPS |
|
|
Face Detection (SP)
|
100% |
16860
200.3 IPS |
|
|
Face Detection (HP)
|
100% |
21456
254.9 IPS |
|
|
Face Detection (Q)
|
100% |
16246
193.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27427
211.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
29860
230.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
25158
196.6 IPS |
|
|
Style Transfer (SP)
|
100% |
92140
118.4 IPS |
|
|
Style Transfer (HP)
|
100% |
105907
136.1 IPS |
|
|
Style Transfer (Q)
|
96% |
98446
127.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15562
574.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16384
605.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12525
462.5 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4882
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4869
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1971
34.1 IPS |
