MacBook Pro (16-inch, 2024)
Geekbench AI Score
21688
Single Precision Score
23981
Half Precision Score
21488
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Skipper10B |
| Upload Date | January 19 2025 10:39 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% |
9826
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
10384
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
8588
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19977
323.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20048
325.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21274
344.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
106554
124.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
109551
127.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103635
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
9024
715.8 IPS |
|
|
Object Detection (HP)
|
100% |
10103
801.4 IPS |
|
|
Object Detection (Q)
|
91% |
8608
687.8 IPS |
|
|
Face Detection (SP)
|
100% |
39104
464.6 IPS |
|
|
Face Detection (HP)
|
100% |
39928
474.4 IPS |
|
|
Face Detection (Q)
|
100% |
31503
374.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
45075
347.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47961
369.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
39523
308.9 IPS |
|
|
Style Transfer (SP)
|
100% |
218451
280.8 IPS |
|
|
Style Transfer (HP)
|
100% |
239361
307.7 IPS |
|
|
Style Transfer (Q)
|
96% |
219824
283.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30258
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31387
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25854
954.7 IPS |
|
|
Text Classification (SP)
|
100% |
2961
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5376
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3537
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3386
58.5 IPS |
