MacBook Pro (14-inch, 2023)
Geekbench AI Score
3145
Single Precision Score
4748
Half Precision Score
3934
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | aeonsim |
| Upload Date | August 16 2024 03:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1433
266.6 IPS |
|
|
Image Classification (HP)
|
100% |
1821
338.7 IPS |
|
|
Image Classification (Q)
|
99% |
1821
339.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1293
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6256
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
14807
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12667
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2225
177.1 IPS |
|
|
Object Detection (Q)
|
94% |
1723
137.4 IPS |
|
|
Face Detection (SP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
4408
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
2814
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5501
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8603
66.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
4222
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16908
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26822
34.5 IPS |
|
|
Style Transfer (Q)
|
100% |
26770
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3783
139.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4839
178.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3555
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3340
4.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3360
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2125
36.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4545
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4551
78.7 IPS |
