Mac16,9
Geekbench AI Score
19254
Single Precision Score
21416
Half Precision Score
19332
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | March 28 2025 12:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9603
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
9725
1.81 KIPS |
|
|
Image Classification (Q)
|
97% |
8362
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16839
273.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17824
288.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18648
302.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
80583
94.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
83820
97.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
79056
92.7 IPS |
|
|
Object Detection (SP)
|
100% |
8798
697.9 IPS |
|
|
Object Detection (HP)
|
100% |
9664
766.6 IPS |
|
|
Object Detection (Q)
|
91% |
8210
656.0 IPS |
|
|
Face Detection (SP)
|
100% |
33532
398.4 IPS |
|
|
Face Detection (HP)
|
100% |
35884
426.4 IPS |
|
|
Face Detection (Q)
|
100% |
27820
330.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
42470
327.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44234
340.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
37860
295.9 IPS |
|
|
Style Transfer (SP)
|
100% |
185978
239.1 IPS |
|
|
Style Transfer (HP)
|
100% |
203466
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
190567
245.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26794
989.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27782
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22635
835.8 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5446
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5408
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2901
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2959
51.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2933
50.7 IPS |
