Mac17,2
Geekbench AI Score
5347
Single Precision Score
41473
Half Precision Score
57997
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | sin027 |
| Upload Date | February 13 2026 03:31 AM |
| Views | 4 |
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% |
2316
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
18747
3.49 KIPS |
|
|
Image Classification (Q)
|
97% |
24398
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
24159
391.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
33862
548.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11149
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
177547
207.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
333364
390.7 IPS |
|
|
Object Detection (SP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (HP)
|
100% |
18379
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26580
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4850
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
46904
557.3 IPS |
|
|
Face Detection (Q)
|
100% |
67437
801.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9199
70.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111315
857.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
187146
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27419
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
270344
347.5 IPS |
|
|
Style Transfer (Q)
|
96% |
374195
482.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5995
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
63186
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
100588
3.71 KIPS |
|
|
Text Classification (SP)
|
100% |
3068
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
6489
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6739
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5078
87.5 IPS |
|
|
Machine Translation (HP)
|
100% |
17604
303.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18376
317.6 IPS |
