MacBook Pro (16-inch, 2024)
Geekbench AI Score
21626
Single Precision Score
24143
Half Precision Score
21603
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Skipper10B |
| Upload Date | January 19 2025 10:49 AM |
| Views | 1 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9888
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
10127
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
8582
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19625
318.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21158
343.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21357
346.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
106518
124.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
109646
127.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103105
120.8 IPS |
|
|
Object Detection (SP)
|
100% |
9192
729.1 IPS |
|
|
Object Detection (HP)
|
100% |
10113
802.2 IPS |
|
|
Object Detection (Q)
|
91% |
8660
692.0 IPS |
|
|
Face Detection (SP)
|
100% |
39015
463.6 IPS |
|
|
Face Detection (HP)
|
100% |
39529
469.7 IPS |
|
|
Face Detection (Q)
|
100% |
31595
375.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
44141
340.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46928
361.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
41038
320.7 IPS |
|
|
Style Transfer (SP)
|
100% |
221360
284.6 IPS |
|
|
Style Transfer (HP)
|
100% |
238277
306.3 IPS |
|
|
Style Transfer (Q)
|
96% |
216489
279.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29433
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
33632
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25816
953.3 IPS |
|
|
Text Classification (SP)
|
100% |
2958
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5440
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5393
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3549
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3462
59.8 IPS |
