MacBook Pro (14-inch, 2024)
Geekbench AI Score
9182
Single Precision Score
11144
Half Precision Score
10033
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | berkctezc |
| Upload Date | February 05 2025 05:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
4609
857.2 IPS |
|
|
Image Classification (HP)
|
100% |
5125
953.2 IPS |
|
|
Image Classification (Q)
|
97% |
4321
806.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4938
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7054
114.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7605
123.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29755
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32033
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30466
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4991
395.9 IPS |
|
|
Object Detection (HP)
|
100% |
5446
431.9 IPS |
|
|
Object Detection (Q)
|
91% |
4652
371.7 IPS |
|
|
Face Detection (SP)
|
100% |
12761
151.6 IPS |
|
|
Face Detection (HP)
|
100% |
16771
199.3 IPS |
|
|
Face Detection (Q)
|
100% |
12291
146.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21498
165.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23619
182.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20268
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
59958
77.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71714
92.2 IPS |
|
|
Style Transfer (Q)
|
96% |
67567
87.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12357
456.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13734
507.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10822
399.6 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5401
7.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5503
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2214
38.3 IPS |
