MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
8742
Single Precision Score
10295
Half Precision Score
8945
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Jake3231 |
| Upload Date | August 31 2024 09:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
5458
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
5731
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
4902
914.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7035
114.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8294
134.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
8085
131.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
34852
40.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
36748
42.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33334
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
5293
419.8 IPS |
|
|
Object Detection (HP)
|
100% |
5571
441.9 IPS |
|
|
Object Detection (Q)
|
92% |
4455
355.6 IPS |
|
|
Face Detection (SP)
|
100% |
15212
180.8 IPS |
|
|
Face Detection (HP)
|
100% |
18240
216.7 IPS |
|
|
Face Detection (Q)
|
100% |
13012
154.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22848
176.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
24817
191.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
24541
189.8 IPS |
|
|
Style Transfer (SP)
|
100% |
77142
99.2 IPS |
|
|
Style Transfer (HP)
|
100% |
86356
111.0 IPS |
|
|
Style Transfer (Q)
|
100% |
85078
109.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13713
506.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15646
577.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11006
407.7 IPS |
|
|
Text Classification (SP)
|
100% |
525
700.1 IPS |
|
|
Text Classification (HP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (Q)
|
93% |
984
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1895
32.7 IPS |
