Mac17,2
Geekbench AI Score
5217
Single Precision Score
43130
Half Precision Score
60227
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 15 2025 03:12 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 | 4.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2263
420.8 IPS |
|
|
Image Classification (HP)
|
100% |
19218
3.57 KIPS |
|
|
Image Classification (Q)
|
97% |
27392
5.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24321
394.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
34123
553.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10650
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
179253
209.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
331431
388.5 IPS |
|
|
Object Detection (SP)
|
100% |
2513
199.3 IPS |
|
|
Object Detection (HP)
|
100% |
19864
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
27943
2.23 KIPS |
|
|
Face Detection (SP)
|
100% |
4658
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
47915
569.3 IPS |
|
|
Face Detection (Q)
|
100% |
66688
792.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9091
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
114456
881.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
197653
1.55 KIPS |
|
|
Style Transfer (SP)
|
100% |
26244
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
273236
351.2 IPS |
|
|
Style Transfer (Q)
|
96% |
377090
486.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
67732
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
103948
3.84 KIPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
7386
9.86 KIPS |
|
|
Text Classification (Q)
|
93% |
7439
9.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4855
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
17856
307.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18875
326.2 IPS |
