Mac17,2
Geekbench AI Score
5351
Single Precision Score
41252
Half Precision Score
57524
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | February 19 2026 05:34 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
18531
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
25494
4.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23900
387.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33037
535.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11247
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
178429
208.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
333303
390.7 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
18000
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26289
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4842
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
46890
557.2 IPS |
|
|
Face Detection (Q)
|
100% |
66092
785.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9180
70.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
110742
853.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175643
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
27424
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
269772
346.8 IPS |
|
|
Style Transfer (Q)
|
96% |
367371
474.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5923
218.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63101
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100943
3.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6489
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6827
9.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5290
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17491
301.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18292
316.1 IPS |
