MacBook Pro (14-inch, 2024)
Geekbench AI Score
11616
Single Precision Score
13708
Half Precision Score
12916
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 15 2026 05:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5174
962.2 IPS |
|
|
Image Classification (HP)
|
100% |
5384
1.00 KIPS |
|
|
Image Classification (Q)
|
96% |
5149
961.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7668
124.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8595
139.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8171
132.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
28926
33.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33243
38.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
32366
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
5057
401.1 IPS |
|
|
Object Detection (HP)
|
100% |
5606
444.7 IPS |
|
|
Object Detection (Q)
|
91% |
5462
436.5 IPS |
|
|
Face Detection (SP)
|
100% |
13325
158.3 IPS |
|
|
Face Detection (HP)
|
100% |
18431
219.0 IPS |
|
|
Face Detection (Q)
|
100% |
17088
203.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21097
162.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24154
186.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
22374
175.1 IPS |
|
|
Style Transfer (SP)
|
100% |
61378
78.9 IPS |
|
|
Style Transfer (HP)
|
100% |
73534
94.5 IPS |
|
|
Style Transfer (Q)
|
96% |
70334
90.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12161
449.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13203
487.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10815
399.4 IPS |
|
|
Text Classification (SP)
|
100% |
6550
8.74 KIPS |
|
|
Text Classification (HP)
|
99% |
10319
13.8 KIPS |
|
|
Text Classification (Q)
|
92% |
10272
13.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
5608
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6093
104.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5817
100.5 IPS |
