MacBook Pro (M4) Mac16,5
Geekbench AI Score
5993
Single Precision Score
38441
Half Precision Score
51350
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Wolfgang1756 |
| Upload Date | December 15 2024 07:18 AM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2171
403.8 IPS |
|
|
Image Classification (HP)
|
100% |
18429
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
23306
4.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2588
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23016
373.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32738
530.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19171
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
124577
145.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
233789
274.0 IPS |
|
|
Object Detection (SP)
|
100% |
2620
207.8 IPS |
|
|
Object Detection (HP)
|
100% |
20591
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
25174
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
44528
529.1 IPS |
|
|
Face Detection (Q)
|
100% |
64738
769.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9121
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
110623
852.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
180181
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
36996
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234272
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298662
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7221
266.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46928
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81134
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6977
9.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5829
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6082
104.8 IPS |
|
|
Machine Translation (HP)
|
100% |
17143
295.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17232
297.8 IPS |
