MacBook Pro (14-inch, 2024)
Geekbench AI Score
4759
Single Precision Score
36597
Half Precision Score
51975
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tifreitas |
| Upload Date | January 12 2025 12:16 PM |
| Views | 3 |
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% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
17825
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25491
4.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22382
362.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30211
489.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10010
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123670
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232443
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
18278
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25849
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
43059
511.6 IPS |
|
|
Face Detection (Q)
|
100% |
61688
733.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99181
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168746
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25469
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
231559
297.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298012
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5786
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49304
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85527
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5978
7.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6473
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
3949
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16397
282.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18105
312.9 IPS |
