Mac17,2
Geekbench AI Score
13832
Single Precision Score
26009
Half Precision Score
26250
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | warp0519 |
| Upload Date | February 22 2026 02:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6248
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
10795
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
10972
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10211
165.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
17144
277.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17095
277.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
39568
46.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
102763
119.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
130012
152.4 IPS |
|
|
Object Detection (SP)
|
100% |
6518
517.0 IPS |
|
|
Object Detection (HP)
|
100% |
11955
948.3 IPS |
|
|
Object Detection (Q)
|
94% |
11641
928.2 IPS |
|
|
Face Detection (SP)
|
100% |
19101
227.0 IPS |
|
|
Face Detection (HP)
|
100% |
36195
430.1 IPS |
|
|
Face Detection (Q)
|
100% |
33658
399.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28777
221.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
57341
441.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
57145
446.1 IPS |
|
|
Style Transfer (SP)
|
100% |
81707
105.0 IPS |
|
|
Style Transfer (HP)
|
100% |
187994
241.7 IPS |
|
|
Style Transfer (Q)
|
96% |
223326
288.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16158
596.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32835
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29522
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5599
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5562
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
7082
122.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8689
149.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7761
134.1 IPS |
