MacBook Pro (13-inch, 2022)
Geekbench AI Score
3447
Single Precision Score
23278
Half Precision Score
25536
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Ticonderoga |
| Upload Date | April 04 2025 08:13 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.44 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
14115
2.62 KIPS |
|
|
Image Classification (Q)
|
99% |
14491
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1517
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15509
251.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
15544
252.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6821
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
98206
114.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
99515
116.7 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
14913
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16801
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3175
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
22416
266.3 IPS |
|
|
Face Detection (Q)
|
100% |
35223
418.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5718
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
74767
576.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
81646
631.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18637
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
152352
195.9 IPS |
|
|
Style Transfer (Q)
|
100% |
151840
195.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4033
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38093
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
46170
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3690
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3495
60.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4046
69.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4209
72.7 IPS |
