MacBook Pro (13-inch, 2022)
Geekbench AI Score
3469
Single Precision Score
26209
Half Precision Score
29189
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | March 20 2025 01:21 AM |
| Views | 5 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
14389
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15466
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18990
307.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23757
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6868
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
103561
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104862
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
99% |
15154
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17206
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
32837
390.2 IPS |
|
|
Face Detection (Q)
|
100% |
42821
508.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5741
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86305
664.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108760
849.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18681
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200794
258.1 IPS |
|
|
Style Transfer (Q)
|
96% |
191565
247.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4052
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40624
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47605
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3783
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3756
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4079
70.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4246
73.4 IPS |
