MacBook Pro (16-inch, 2024)
Geekbench AI Score
21959
Single Precision Score
24440
Half Precision Score
21698
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | kelliott0609 |
| Upload Date | January 19 2025 07:47 PM |
| Views | 9 |
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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10297
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
10511
1.95 KIPS |
|
|
Image Classification (Q)
|
97% |
8881
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20105
325.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20969
339.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21396
346.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
107745
125.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
110850
129.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104139
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
9254
734.1 IPS |
|
|
Object Detection (HP)
|
100% |
10135
803.9 IPS |
|
|
Object Detection (Q)
|
91% |
8821
704.9 IPS |
|
|
Face Detection (SP)
|
100% |
38555
458.1 IPS |
|
|
Face Detection (HP)
|
100% |
42507
505.1 IPS |
|
|
Face Detection (Q)
|
100% |
29724
353.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
45859
353.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48187
371.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
40827
319.1 IPS |
|
|
Style Transfer (SP)
|
100% |
224405
288.5 IPS |
|
|
Style Transfer (HP)
|
100% |
241536
310.5 IPS |
|
|
Style Transfer (Q)
|
96% |
222782
287.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30593
1.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
32124
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25649
947.1 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5469
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3521
60.9 IPS |
