MacBook Pro (14-inch, 2024)
Geekbench AI Score
4742
Single Precision Score
36607
Half Precision Score
51214
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | twilightrazor |
| Upload Date | March 02 2025 06:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
18169
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
25192
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2211
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21771
352.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29617
480.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123136
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232404
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
18889
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
25397
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
42398
503.8 IPS |
|
|
Face Detection (Q)
|
100% |
60790
722.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99524
766.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
170874
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25273
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232635
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296398
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5864
216.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49384
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85790
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5991
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5994
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16174
278.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17805
307.7 IPS |
