MacBook Pro (14-inch, 2024)
Geekbench AI Score
5690
Single Precision Score
37498
Half Precision Score
49883
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | bassiek |
| Upload Date | March 10 2025 01:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
17355
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21998
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23249
376.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
32474
526.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18630
21.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123209
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
229175
268.6 IPS |
|
|
Object Detection (SP)
|
100% |
2495
197.9 IPS |
|
|
Object Detection (HP)
|
100% |
20906
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
24158
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4447
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
44000
522.8 IPS |
|
|
Face Detection (Q)
|
100% |
62436
741.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8626
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
111530
859.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
177068
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35167
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237514
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302282
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6983
257.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46338
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79059
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5750
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5292
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
17031
293.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16358
282.7 IPS |
