MacBook Pro (14-inch, 2023)
Geekbench AI Score
4125
Single Precision Score
23492
Half Precision Score
25776
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 09:15 PM |
| 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 | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
13729
2.55 KIPS |
|
|
Image Classification (Q)
|
96% |
16345
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1700
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10142
164.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11315
183.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12913
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
105910
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
103928
121.8 IPS |
|
|
Object Detection (SP)
|
100% |
1690
134.1 IPS |
|
|
Object Detection (HP)
|
99% |
15192
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
16422
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
3566
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
35314
419.6 IPS |
|
|
Face Detection (Q)
|
100% |
44886
533.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6377
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87118
671.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109076
852.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24468
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
202014
259.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191346
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41508
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49935
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2325
40.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2302
39.8 IPS |
