MacBook Pro (16-inch, 2024)
Geekbench AI Score
20699
Single Precision Score
22271
Half Precision Score
19824
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | congrio |
| Upload Date | December 30 2024 10:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | MacBook Pro (16-inch, 2024) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9149
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
9429
1.75 KIPS |
|
|
Image Classification (Q)
|
97% |
8043
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19203
311.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20057
325.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20731
336.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106256
124.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
109081
127.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102544
120.2 IPS |
|
|
Object Detection (SP)
|
100% |
9047
717.6 IPS |
|
|
Object Detection (HP)
|
100% |
9627
763.6 IPS |
|
|
Object Detection (Q)
|
91% |
8366
668.5 IPS |
|
|
Face Detection (SP)
|
100% |
38445
456.8 IPS |
|
|
Face Detection (HP)
|
100% |
41293
490.6 IPS |
|
|
Face Detection (Q)
|
100% |
29554
351.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
43813
337.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
46360
357.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
39457
308.4 IPS |
|
|
Style Transfer (SP)
|
100% |
217800
280.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234574
301.5 IPS |
|
|
Style Transfer (Q)
|
96% |
214092
276.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29424
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30136
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24265
896.0 IPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5163
6.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5146
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2725
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2103
36.3 IPS |
