MacBook Pro (14-inch, 2024)
Geekbench AI Score
4685
Single Precision Score
7717
Half Precision Score
6211
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | January 05 2025 09:39 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,1 |
| Motherboard | Mac16,1 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.6 IPS |
|
|
Image Classification (HP)
|
100% |
3307
615.1 IPS |
|
|
Image Classification (Q)
|
96% |
2292
428.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3302
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3618
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9979
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19039
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16439
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2236
177.4 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.2 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.1 IPS |
|
|
Face Detection (SP)
|
100% |
3849
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7276
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4284
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8222
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14536
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10130
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25199
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38052
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31438
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6884
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4867
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5155
6.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5220
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3885
66.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6713
116.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6736
116.4 IPS |
