MacBook Pro (14-inch, 2024)
Geekbench AI Score
5379
Single Precision Score
37303
Half Precision Score
51010
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | buranbr |
| Upload Date | April 12 2025 09:09 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacBook Pro (14-inch, 2024) |
| Model ID | Mac16,8 |
| Motherboard | Mac16,8 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
17641
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
22313
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2281
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23282
377.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
33475
542.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17454
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122858
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
229385
268.9 IPS |
|
|
Object Detection (SP)
|
100% |
2499
198.3 IPS |
|
|
Object Detection (HP)
|
100% |
20323
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24740
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4669
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
45452
540.1 IPS |
|
|
Face Detection (Q)
|
100% |
66341
788.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8633
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112055
863.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176865
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25337
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237814
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301809
389.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5997
221.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46990
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79312
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6035
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
5541
95.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16426
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16602
286.9 IPS |
