Mac17,2
Geekbench AI Score
5333
Single Precision Score
42509
Half Precision Score
59017
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 21 2025 11:31 AM |
| Views | 5 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2277
423.4 IPS |
|
|
Image Classification (HP)
|
100% |
19260
3.58 KIPS |
|
|
Image Classification (Q)
|
97% |
27810
5.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24170
391.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32734
530.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11321
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
177773
207.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
330571
387.4 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
100% |
18244
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26903
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4801
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
47436
563.6 IPS |
|
|
Face Detection (Q)
|
100% |
67785
805.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9186
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112043
863.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
178410
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
27617
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
273975
352.2 IPS |
|
|
Style Transfer (Q)
|
96% |
374666
483.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
65981
2.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
101563
3.75 KIPS |
|
|
Text Classification (SP)
|
100% |
3011
4.02 KIPS |
|
|
Text Classification (HP)
|
100% |
7276
9.71 KIPS |
|
|
Text Classification (Q)
|
93% |
7205
9.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4987
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
18257
314.5 IPS |
|
|
Machine Translation (Q)
|
98% |
19099
330.0 IPS |
