MacBook Pro (14-inch, 2024)
Geekbench AI Score
4691
Single Precision Score
7694
Half Precision Score
6244
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Strumbull |
| Upload Date | January 11 2025 05:22 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5040f) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1935
359.8 IPS |
|
|
Image Classification (HP)
|
100% |
3111
578.5 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3350
54.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3634
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9878
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19019
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16463
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2712
216.2 IPS |
|
|
Face Detection (SP)
|
100% |
3874
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7212
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
4318
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8295
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14524
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10225
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25363
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38410
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31824
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5856
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6661
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4790
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5324
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5309
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3926
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6791
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6703
115.8 IPS |
