MacBook Pro (16-inch, 2024)
Geekbench AI Score
24139
Single Precision Score
27137
Half Precision Score
25064
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dunno |
| Upload Date | March 04 2026 05:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
9961
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10364
1.93 KIPS |
|
|
Image Classification (Q)
|
96% |
9615
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23675
383.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24745
401.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23342
378.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
102550
119.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
111211
129.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
106040
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
9122
723.5 IPS |
|
|
Object Detection (HP)
|
100% |
10132
803.7 IPS |
|
|
Object Detection (Q)
|
91% |
8984
718.0 IPS |
|
|
Face Detection (SP)
|
100% |
41757
496.2 IPS |
|
|
Face Detection (HP)
|
100% |
45670
542.7 IPS |
|
|
Face Detection (Q)
|
100% |
40645
483.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44899
345.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47601
366.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
44338
346.9 IPS |
|
|
Style Transfer (SP)
|
100% |
219031
281.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236302
303.8 IPS |
|
|
Style Transfer (Q)
|
96% |
227182
293.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30069
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31136
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27290
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5606
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
7589
130.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8359
144.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7485
129.3 IPS |
