MacBook Pro (16-inch, 2024)
Geekbench AI Score
22215
Single Precision Score
23286
Half Precision Score
22066
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | tralston |
| Upload Date | December 05 2024 08:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10646
1.98 KIPS |
|
|
Image Classification (HP)
|
100% |
10872
2.02 KIPS |
|
|
Image Classification (Q)
|
97% |
9562
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20211
327.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21033
341.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21416
347.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
107787
125.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
110931
129.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104652
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
9409
746.3 IPS |
|
|
Object Detection (HP)
|
100% |
10557
837.4 IPS |
|
|
Object Detection (Q)
|
91% |
8983
717.8 IPS |
|
|
Face Detection (SP)
|
100% |
39235
466.2 IPS |
|
|
Face Detection (HP)
|
100% |
42503
505.0 IPS |
|
|
Face Detection (Q)
|
100% |
32370
384.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44764
344.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47518
366.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
40584
317.2 IPS |
|
|
Style Transfer (SP)
|
100% |
225955
290.5 IPS |
|
|
Style Transfer (HP)
|
100% |
242719
312.0 IPS |
|
|
Style Transfer (Q)
|
96% |
220521
284.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31279
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32630
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26848
991.4 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5383
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5389
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2033
35.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3393
58.6 IPS |
