Mac17,2
Geekbench AI Score
5300
Single Precision Score
42115
Half Precision Score
59134
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | DaMoisture |
| Upload Date | December 05 2025 09:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
18678
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
25641
4.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2439
39.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24200
392.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
34131
553.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11273
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177970
207.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
334077
391.6 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
100% |
18623
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26719
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4849
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
47263
561.6 IPS |
|
|
Face Detection (Q)
|
100% |
67042
796.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9178
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
113352
873.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
192306
1.50 KIPS |
|
|
Style Transfer (SP)
|
100% |
26613
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
272443
350.2 IPS |
|
|
Style Transfer (Q)
|
96% |
373803
482.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66985
2.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101109
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
6730
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
7326
9.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4873
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17810
306.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18752
324.1 IPS |
