MacBook Pro (16-inch, 2024)
Geekbench AI Score
19465
Single Precision Score
21690
Half Precision Score
19495
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 29 2024 02:56 AM |
| Views | 2 |
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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9413
1.75 KIPS |
|
|
Image Classification (HP)
|
100% |
9496
1.77 KIPS |
|
|
Image Classification (Q)
|
97% |
8560
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16785
272.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18209
295.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18801
304.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
81064
94.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
84184
98.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
79407
93.1 IPS |
|
|
Object Detection (SP)
|
100% |
8928
708.1 IPS |
|
|
Object Detection (HP)
|
100% |
9655
765.8 IPS |
|
|
Object Detection (Q)
|
91% |
8099
647.2 IPS |
|
|
Face Detection (SP)
|
100% |
34784
413.3 IPS |
|
|
Face Detection (HP)
|
100% |
36885
438.3 IPS |
|
|
Face Detection (Q)
|
100% |
28103
333.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
41904
322.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
43670
336.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
36678
286.7 IPS |
|
|
Style Transfer (SP)
|
100% |
185676
238.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203014
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
188117
242.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26075
962.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28548
1.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22728
839.2 IPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5287
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5252
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3323
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3311
57.2 IPS |
