MacBook Pro (14-inch, 2024)
Geekbench AI Score
4962
Single Precision Score
36828
Half Precision Score
51216
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Matso |
| Upload Date | March 11 2026 01:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
2076
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
18165
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
25353
4.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22249
360.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30802
499.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10070
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122474
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232326
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2455
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
18589
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
25865
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4194
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
43318
514.7 IPS |
|
|
Face Detection (Q)
|
100% |
60394
717.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8506
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99766
768.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
162411
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24285
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234932
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
318673
411.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6052
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51585
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82865
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
5796
7.74 KIPS |
|
|
Text Classification (Q)
|
93% |
5634
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16434
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18135
313.4 IPS |
