MacBook Pro (14-inch, 2024)
Geekbench AI Score
4749
Single Precision Score
36454
Half Precision Score
51501
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 01 2025 02:00 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
17160
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24628
4.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22108
358.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30185
489.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123141
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233152
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
18230
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
26942
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3906
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
42979
510.7 IPS |
|
|
Face Detection (Q)
|
100% |
61695
733.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8363
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100257
772.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168518
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25386
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232938
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
295678
381.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5829
215.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49008
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83088
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6010
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
6087
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3947
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16462
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18084
312.5 IPS |
