MacBook Pro (16-inch, 2024)
Geekbench AI Score
5983
Single Precision Score
38898
Half Precision Score
53398
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dunno |
| Upload Date | March 04 2026 05:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2202
409.4 IPS |
|
|
Image Classification (HP)
|
100% |
20379
3.79 KIPS |
|
|
Image Classification (Q)
|
97% |
25131
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23462
380.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
32965
534.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18360
21.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123551
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232354
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
21377
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
27027
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
5224
62.1 IPS |
|
|
Face Detection (HP)
|
100% |
45450
540.0 IPS |
|
|
Face Detection (Q)
|
100% |
65697
780.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8979
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
110256
849.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
187161
1.46 KIPS |
|
|
Style Transfer (SP)
|
100% |
31201
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
236398
303.9 IPS |
|
|
Style Transfer (Q)
|
96% |
323288
417.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51529
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89481
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3163
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
6648
114.5 IPS |
|
|
Machine Translation (HP)
|
100% |
18315
315.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18433
318.6 IPS |
