Mac17,2
Geekbench AI Score
5253
Single Precision Score
42126
Half Precision Score
58887
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | aIpaca |
| Upload Date | March 19 2026 05:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M5 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 4.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2233
415.2 IPS |
|
|
Image Classification (HP)
|
100% |
18558
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
25035
4.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2373
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23938
388.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33862
548.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11068
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
176595
206.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
330639
387.5 IPS |
|
|
Object Detection (SP)
|
100% |
2636
209.1 IPS |
|
|
Object Detection (HP)
|
100% |
19157
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26943
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
47089
559.5 IPS |
|
|
Face Detection (Q)
|
100% |
68487
813.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9041
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
112532
867.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
187223
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
27137
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
273896
352.1 IPS |
|
|
Style Transfer (Q)
|
96% |
373176
481.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5988
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66720
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
104720
3.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6999
9.34 KIPS |
|
|
Text Classification (Q)
|
93% |
7321
9.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5035
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17281
297.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18101
312.8 IPS |
