MacBook Pro (13-inch, 2022)
Geekbench AI Score
3447
Single Precision Score
26312
Half Precision Score
29017
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | June 28 2025 10:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1369
254.5 IPS |
|
|
Image Classification (HP)
|
100% |
14164
2.63 KIPS |
|
|
Image Classification (Q)
|
96% |
14464
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19701
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23166
375.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6824
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
104966
122.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105425
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
99% |
15360
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17129
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34259
407.1 IPS |
|
|
Face Detection (Q)
|
100% |
44174
524.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5487
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86709
668.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
110038
859.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18577
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204693
263.1 IPS |
|
|
Style Transfer (Q)
|
96% |
195737
252.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3948
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39105
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46706
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3732
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3729
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3862
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3985
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4221
73.0 IPS |
