MacBook Pro (14-inch, 2023)
Geekbench AI Score
4146
Single Precision Score
27427
Half Precision Score
30654
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | November 07 2024 11:34 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
14941
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
17132
3.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1690
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19543
316.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24445
396.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12819
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106036
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104239
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.1 IPS |
|
|
Object Detection (HP)
|
99% |
15319
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16845
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3667
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
35609
423.1 IPS |
|
|
Face Detection (Q)
|
100% |
45528
541.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6399
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
88035
678.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
108858
850.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25124
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203614
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190580
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5098
188.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42031
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49390
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4653
80.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5356
92.6 IPS |
