MacBook Pro (14-inch, 2024)
Geekbench AI Score
5796
Single Precision Score
36416
Half Precision Score
49226
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mstephan |
| Upload Date | February 13 2025 06:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
16992
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
21437
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23179
375.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32130
520.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18939
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123155
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230594
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
19377
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23270
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
44474
528.4 IPS |
|
|
Face Detection (Q)
|
100% |
63595
755.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8899
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
106119
817.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
180370
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35431
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
237618
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303649
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7059
260.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45555
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76773
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5334
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5223
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5838
100.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16017
275.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16188
279.8 IPS |
