MacBook Pro (14-inch, 2024)
Geekbench AI Score
5010
Single Precision Score
36292
Half Precision Score
50648
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 08 2025 04:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2107
391.8 IPS |
|
|
Image Classification (HP)
|
100% |
17291
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
22688
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2223
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22199
359.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29650
480.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10082
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122431
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
232034
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
100% |
17791
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25751
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4387
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
43028
511.3 IPS |
|
|
Face Detection (Q)
|
100% |
62166
738.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8634
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99205
764.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
160959
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24344
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230396
296.2 IPS |
|
|
Style Transfer (Q)
|
96% |
322152
415.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51220
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82746
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3339
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5734
7.65 KIPS |
|
|
Text Classification (Q)
|
93% |
5743
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4545
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16415
282.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18042
311.8 IPS |
