MacBook Pro (16-inch, 2024)
Geekbench AI Score
19786
Single Precision Score
22044
Half Precision Score
19724
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | markbyrn |
| Upload Date | January 10 2025 07:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9635
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
10218
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
8764
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17206
278.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18362
297.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
18738
303.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
81376
95.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
84707
98.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
79834
93.6 IPS |
|
|
Object Detection (SP)
|
100% |
9031
716.3 IPS |
|
|
Object Detection (HP)
|
100% |
9750
773.4 IPS |
|
|
Object Detection (Q)
|
91% |
8044
642.8 IPS |
|
|
Face Detection (SP)
|
100% |
33713
400.6 IPS |
|
|
Face Detection (HP)
|
100% |
36738
436.5 IPS |
|
|
Face Detection (Q)
|
100% |
28339
336.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43466
334.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45824
353.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
38246
298.9 IPS |
|
|
Style Transfer (SP)
|
100% |
190214
244.5 IPS |
|
|
Style Transfer (HP)
|
100% |
207858
267.2 IPS |
|
|
Style Transfer (Q)
|
96% |
194501
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27623
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
29319
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23431
865.2 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5330
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5321
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3199
55.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3216
55.6 IPS |
