Mac17,2
Geekbench AI Score
5124
Single Precision Score
42308
Half Precision Score
58939
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Bierre |
| Upload Date | February 02 2026 09:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2183
406.0 IPS |
|
|
Image Classification (HP)
|
100% |
18410
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
25882
4.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24063
390.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33893
549.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11002
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
177300
206.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
334278
391.8 IPS |
|
|
Object Detection (SP)
|
100% |
2647
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
19666
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
27145
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
4736
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
48038
570.8 IPS |
|
|
Face Detection (Q)
|
100% |
68751
816.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8909
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111013
855.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
189738
1.48 KIPS |
|
|
Style Transfer (SP)
|
100% |
27254
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
272641
350.5 IPS |
|
|
Style Transfer (Q)
|
96% |
363775
469.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66133
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
102642
3.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6961
9.29 KIPS |
|
|
Text Classification (Q)
|
93% |
7104
9.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4504
77.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17777
306.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18368
317.4 IPS |
