Mac17,2
Geekbench AI Score
13715
Single Precision Score
26361
Half Precision Score
26193
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | stoninex |
| Upload Date | March 12 2026 02:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6200
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10862
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
11138
2.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10137
164.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17028
276.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17004
275.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
39492
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102672
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
129599
151.9 IPS |
|
|
Object Detection (SP)
|
100% |
6476
513.7 IPS |
|
|
Object Detection (HP)
|
100% |
11817
937.3 IPS |
|
|
Object Detection (Q)
|
94% |
11211
893.9 IPS |
|
|
Face Detection (SP)
|
100% |
18221
216.5 IPS |
|
|
Face Detection (HP)
|
100% |
36705
436.1 IPS |
|
|
Face Detection (Q)
|
100% |
33589
399.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28667
220.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56820
437.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
56650
442.3 IPS |
|
|
Style Transfer (SP)
|
100% |
81535
104.8 IPS |
|
|
Style Transfer (HP)
|
100% |
188738
242.6 IPS |
|
|
Style Transfer (Q)
|
96% |
224190
289.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16224
599.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33655
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30028
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6236
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5528
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
7106
122.4 IPS |
|
|
Machine Translation (HP)
|
100% |
8743
150.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7801
134.8 IPS |
