Mac17,2
Geekbench AI Score
5287
Single Precision Score
42116
Half Precision Score
58574
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 05:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A8364) |
| 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% |
2253
419.0 IPS |
|
|
Image Classification (HP)
|
100% |
18611
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
25386
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24144
391.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33631
545.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11274
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
179618
209.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
333950
391.4 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
18827
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26979
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
46891
557.2 IPS |
|
|
Face Detection (Q)
|
100% |
66714
792.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9046
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112372
865.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
182399
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
27064
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
271956
349.6 IPS |
|
|
Style Transfer (Q)
|
96% |
372425
480.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5992
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
64237
2.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101184
3.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3064
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6978
9.31 KIPS |
|
|
Text Classification (Q)
|
93% |
7238
9.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5028
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17990
309.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18623
321.8 IPS |
