MacBook Pro (14-inch, 2023)
Geekbench AI Score
4154
Single Precision Score
23455
Half Precision Score
25687
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 05:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
14081
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
16705
3.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10067
163.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11284
182.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12907
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106373
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104152
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1695
134.5 IPS |
|
|
Object Detection (HP)
|
99% |
14966
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16384
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
35429
421.0 IPS |
|
|
Face Detection (Q)
|
100% |
45288
538.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6364
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87197
671.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108137
845.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24401
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203409
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
190520
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40501
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47823
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3791
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2308
39.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2299
39.7 IPS |
