MacBook Pro M2 8-core (13-inch, 2022) 16GB/1TB SSD Konopek Laptop 2023 MacBook Pro (13-inch, 2022)
Geekbench AI Score
7296
Single Precision Score
8257
Half Precision Score
7187
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | konopek1971 |
| Upload Date | December 08 2024 03:47 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3832
712.7 IPS |
|
|
Image Classification (HP)
|
100% |
3795
705.8 IPS |
|
|
Image Classification (Q)
|
97% |
3140
586.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4046
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5131
83.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5224
84.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24522
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26787
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24733
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
3795
301.0 IPS |
|
|
Object Detection (HP)
|
100% |
3836
304.3 IPS |
|
|
Object Detection (Q)
|
91% |
3182
254.3 IPS |
|
|
Face Detection (SP)
|
100% |
10596
125.9 IPS |
|
|
Face Detection (HP)
|
100% |
12294
146.1 IPS |
|
|
Face Detection (Q)
|
100% |
8602
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17264
133.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18407
141.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
15241
119.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42910
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49201
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
46058
59.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10342
381.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10876
401.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8469
312.7 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3787
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3748
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1486
25.7 IPS |
