MacBook Pro (16-inch, 2024)
Geekbench AI Score
5695
Single Precision Score
37666
Half Precision Score
50798
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | February 02 2026 09:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,7 |
| Motherboard | Mac16,7 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2161
402.0 IPS |
|
|
Image Classification (HP)
|
100% |
18639
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
23038
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22956
372.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
33094
536.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17034
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
121278
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
230315
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2550
202.2 IPS |
|
|
Object Detection (HP)
|
100% |
20261
1.61 KIPS |
|
|
Object Detection (Q)
|
91% |
24411
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4997
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
44174
524.9 IPS |
|
|
Face Detection (Q)
|
100% |
62817
746.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8701
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112508
866.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
179341
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
29005
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238757
306.9 IPS |
|
|
Style Transfer (Q)
|
96% |
326955
421.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7102
262.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49515
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79896
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5656
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5717
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16454
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16410
283.6 IPS |
