MacBook Pro (13-inch, 2022)
Geekbench AI Score
3420
Single Precision Score
26619
Half Precision Score
29800
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | May 25 2025 04:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1363
253.6 IPS |
|
|
Image Classification (HP)
|
100% |
14209
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15862
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1474
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19519
316.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23841
386.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105245
122.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106360
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
15454
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17552
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33731
400.8 IPS |
|
|
Face Detection (Q)
|
100% |
43354
515.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5492
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
86468
666.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109590
856.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18613
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203309
261.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194149
250.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3924
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40179
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49490
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3893
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3705
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4270
73.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4405
76.1 IPS |
