Mac16,9
Geekbench AI Score
22129
Single Precision Score
24531
Half Precision Score
21740
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | KipR |
| Upload Date | March 31 2025 08:43 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10514
1.96 KIPS |
|
|
Image Classification (HP)
|
100% |
10688
1.99 KIPS |
|
|
Image Classification (Q)
|
97% |
8872
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19770
320.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20740
336.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21484
348.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
107661
125.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
110552
129.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
103960
121.9 IPS |
|
|
Object Detection (SP)
|
100% |
9321
739.3 IPS |
|
|
Object Detection (HP)
|
100% |
10390
824.1 IPS |
|
|
Object Detection (Q)
|
91% |
8864
708.3 IPS |
|
|
Face Detection (SP)
|
100% |
40294
478.8 IPS |
|
|
Face Detection (HP)
|
100% |
41856
497.3 IPS |
|
|
Face Detection (Q)
|
100% |
33370
396.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
45173
348.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47792
368.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
40606
317.3 IPS |
|
|
Style Transfer (SP)
|
100% |
221843
285.2 IPS |
|
|
Style Transfer (HP)
|
100% |
240224
308.8 IPS |
|
|
Style Transfer (Q)
|
96% |
219411
283.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30755
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32495
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26567
981.0 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3088
53.4 IPS |
