MacBook Pro (14-inch, 2023)
Geekbench AI Score
2176
Single Precision Score
14972
Half Precision Score
16048
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | visualvictor |
| Upload Date | August 17 2024 09:35 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1100
204.5 IPS |
|
|
Image Classification (HP)
|
100% |
7585
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
8330
1.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5126
83.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5147
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11242
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
92923
108.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
87463
102.6 IPS |
|
|
Object Detection (SP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (HP)
|
99% |
9151
728.0 IPS |
|
|
Object Detection (Q)
|
93% |
9937
792.9 IPS |
|
|
Face Detection (SP)
|
100% |
2033
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
11800
140.2 IPS |
|
|
Face Detection (Q)
|
100% |
13816
164.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3812
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
55505
427.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
59997
463.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13209
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
144689
186.0 IPS |
|
|
Style Transfer (Q)
|
100% |
146410
188.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2274
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20584
760.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28164
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
486
648.8 IPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4016
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1850
31.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2215
38.3 IPS |
