MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
2558
Single Precision Score
17138
Half Precision Score
12979
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:40 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.1 (Build 23B2073) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 11 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 5 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1332
247.8 IPS |
|
|
Image Classification (HP)
|
100% |
7415
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
8364
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
906
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6702
108.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6696
108.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8657
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102062
119.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
97069
113.9 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
100% |
9840
780.5 IPS |
|
|
Object Detection (Q)
|
93% |
10475
835.8 IPS |
|
|
Face Detection (SP)
|
100% |
2538
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
16901
200.8 IPS |
|
|
Face Detection (Q)
|
100% |
807
9.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
4729
36.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
59048
454.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
63813
493.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12838
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
150827
193.9 IPS |
|
|
Style Transfer (Q)
|
100% |
154719
198.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21165
781.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
21833
808.9 IPS |
|
|
Text Classification (SP)
|
100% |
541
721.7 IPS |
|
|
Text Classification (HP)
|
100% |
4862
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2829
48.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2826
48.8 IPS |
