MacBook Pro (14-inch, 2023)
Geekbench AI Score
2175
Single Precision Score
14939
Half Precision Score
15882
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | andersliland |
| Upload Date | August 28 2024 04:54 PM |
| Views | 3 |
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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1096
203.8 IPS |
|
|
Image Classification (HP)
|
100% |
7600
1.41 KIPS |
|
|
Image Classification (Q)
|
99% |
8382
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5123
83.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5115
82.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11141
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92547
108.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
87372
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
1198
95.1 IPS |
|
|
Object Detection (HP)
|
99% |
9204
732.2 IPS |
|
|
Object Detection (Q)
|
93% |
10114
807.0 IPS |
|
|
Face Detection (SP)
|
100% |
2040
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
11560
137.4 IPS |
|
|
Face Detection (Q)
|
100% |
12910
153.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3696
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
57133
440.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
60241
465.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13146
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
144902
186.3 IPS |
|
|
Style Transfer (Q)
|
100% |
144792
186.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2210
81.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21000
775.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28254
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
519
693.2 IPS |
|
|
Text Classification (HP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3787
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2238
38.7 IPS |
