MacBook Pro (13-inch, 2022)
Geekbench AI Score
3467
Single Precision Score
26241
Half Precision Score
29240
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 14 2025 10:30 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1392
258.9 IPS |
|
|
Image Classification (HP)
|
100% |
14491
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15324
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19183
311.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23775
385.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
102970
120.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104479
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
15251
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17494
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3189
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
32967
391.7 IPS |
|
|
Face Detection (Q)
|
100% |
42209
501.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5756
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
87628
675.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
110720
865.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18637
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201344
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
189870
245.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4033
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39890
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48612
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3733
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4085
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4261
73.6 IPS |
