MacBook Pro (14-inch, 2024)
Geekbench AI Score
4705
Single Precision Score
38038
Half Precision Score
54812
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 02 2025 07:17 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2013
374.4 IPS |
|
|
Image Classification (HP)
|
100% |
18635
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
27939
5.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2177
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22293
361.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30681
497.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9845
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123532
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232115
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2260
179.3 IPS |
|
|
Object Detection (HP)
|
100% |
19289
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26755
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3918
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
44374
527.3 IPS |
|
|
Face Detection (Q)
|
100% |
66914
795.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8244
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100215
772.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171486
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25059
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237841
305.7 IPS |
|
|
Style Transfer (Q)
|
96% |
303032
391.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50174
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88760
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
7098
9.47 KIPS |
|
|
Text Classification (Q)
|
93% |
7845
10.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
17007
292.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18990
328.2 IPS |
