MacBook Pro (13-inch, 2022)
Geekbench AI Score
3421
Single Precision Score
26528
Half Precision Score
29662
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | April 13 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 (Build 24E248) |
| 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% |
1347
250.4 IPS |
|
|
Image Classification (HP)
|
100% |
14201
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15697
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19397
314.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23979
388.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6807
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
105172
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105182
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
99% |
15576
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17479
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
32880
390.7 IPS |
|
|
Face Detection (Q)
|
100% |
42655
506.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5509
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86250
664.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
108669
849.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18597
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203657
261.8 IPS |
|
|
Style Transfer (Q)
|
96% |
195770
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3953
145.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39541
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49341
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3858
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4411
76.2 IPS |
