MacBook Pro (14-inch, 2023)
Geekbench AI Score
9451
Single Precision Score
10437
Half Precision Score
7980
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | zedkiel |
| Upload Date | August 21 2024 04:04 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5327a) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5001
930.0 IPS |
|
|
Image Classification (HP)
|
100% |
5075
943.8 IPS |
|
|
Image Classification (Q)
|
99% |
4485
836.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7205
116.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7275
117.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
7336
118.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37196
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39385
46.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
35390
41.4 IPS |
|
|
Object Detection (SP)
|
100% |
4745
376.4 IPS |
|
|
Object Detection (HP)
|
100% |
4870
386.3 IPS |
|
|
Object Detection (Q)
|
91% |
3939
314.8 IPS |
|
|
Face Detection (SP)
|
100% |
16661
198.0 IPS |
|
|
Face Detection (HP)
|
100% |
17400
206.7 IPS |
|
|
Face Detection (Q)
|
100% |
12058
143.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23873
183.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24772
190.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
4032
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
68367
87.9 IPS |
|
|
Style Transfer (HP)
|
100% |
74393
95.6 IPS |
|
|
Style Transfer (Q)
|
100% |
73856
94.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13207
487.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14128
521.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10219
378.6 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3888
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3810
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1113
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1230
21.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1634
28.2 IPS |
