MacBook Pro (13-inch, 2022)
Geekbench AI Score
3402
Single Precision Score
26605
Half Precision Score
29450
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | May 07 2025 12:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1328
247.0 IPS |
|
|
Image Classification (HP)
|
100% |
14633
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15392
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19599
317.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24029
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6820
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
105408
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106607
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
99% |
15312
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17545
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
33733
400.8 IPS |
|
|
Face Detection (Q)
|
100% |
42408
503.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5528
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86501
666.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
109297
854.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18580
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203221
261.2 IPS |
|
|
Style Transfer (Q)
|
96% |
194832
251.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3950
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39620
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47026
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3795
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3723
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4292
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4402
76.1 IPS |
