MacBook Pro (14-inch, 2024)
Geekbench AI Score
2374
Single Precision Score
31498
Half Precision Score
42656
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | feranick |
| Upload Date | December 04 2024 05:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,6 |
| Motherboard | Mac16,6 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 3.89 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
891
165.7 IPS |
|
|
Image Classification (HP)
|
100% |
17342
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22327
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20522
332.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28089
455.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7260
8.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
106681
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
193761
227.1 IPS |
|
|
Object Detection (SP)
|
100% |
1043
82.7 IPS |
|
|
Object Detection (HP)
|
100% |
13593
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
15764
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
2680
31.8 IPS |
|
|
Face Detection (HP)
|
100% |
39231
466.2 IPS |
|
|
Face Detection (Q)
|
100% |
56646
673.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4776
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
89018
685.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
134001
1.05 KIPS |
|
|
Style Transfer (SP)
|
100% |
13812
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
207681
267.0 IPS |
|
|
Style Transfer (Q)
|
96% |
266292
343.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35337
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
72076
2.66 KIPS |
|
|
Text Classification (SP)
|
100% |
856
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5143
6.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5132
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2681
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
14132
243.4 IPS |
|
|
Machine Translation (Q)
|
98% |
13926
240.7 IPS |
