Mac17,2
Geekbench AI Score
5294
Single Precision Score
42114
Half Precision Score
58246
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | warp0519 |
| Upload Date | February 22 2026 02:15 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | Mac17,2 |
| Model ID | Mac17,2 |
| Motherboard | Mac17,2 |
| CPU Information | |
|---|---|
| Name | Apple M5 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M5 |
| Base Frequency | 4.61 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.1 IPS |
|
|
Image Classification (HP)
|
100% |
18637
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
24613
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24485
396.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33851
548.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10968
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
178232
208.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
333437
390.8 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
19747
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
27345
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4759
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
46961
558.0 IPS |
|
|
Face Detection (Q)
|
100% |
66459
789.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8914
68.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112533
867.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
181105
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
27354
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
275052
353.6 IPS |
|
|
Style Transfer (Q)
|
96% |
372137
480.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6009
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63496
2.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102883
3.80 KIPS |
|
|
Text Classification (SP)
|
100% |
3065
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6660
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6798
9.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5038
86.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17777
306.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18886
326.4 IPS |
