MacBook Pro (14-inch, 2024)
Geekbench AI Score
5770
Single Precision Score
36653
Half Precision Score
49075
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Peter1234 |
| Upload Date | January 29 2025 05:53 PM |
| Views | 3 |
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% |
2071
385.2 IPS |
|
|
Image Classification (HP)
|
100% |
17352
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21475
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23183
375.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32117
520.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18959
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123124
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230594
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
19202
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23312
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
44769
532.0 IPS |
|
|
Face Detection (Q)
|
100% |
60890
723.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8934
68.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111380
858.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
176731
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
35496
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237461
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
302640
390.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7020
259.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45606
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77310
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2918
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5251
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5444
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
5758
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16229
279.5 IPS |
|
|
Machine Translation (Q)
|
98% |
15945
275.5 IPS |
