MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4796
Single Precision Score
29548
Half Precision Score
32560
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 06:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1508
280.5 IPS |
|
|
Image Classification (HP)
|
100% |
15875
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
17627
3.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21437
347.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
27098
439.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16762
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120334
140.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
118812
139.3 IPS |
|
|
Object Detection (SP)
|
100% |
1986
157.5 IPS |
|
|
Object Detection (HP)
|
100% |
16639
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
16566
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
38079
452.5 IPS |
|
|
Face Detection (Q)
|
100% |
48438
575.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7422
57.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101344
780.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
122424
957.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30692
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
221216
284.4 IPS |
|
|
Style Transfer (Q)
|
96% |
208496
269.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5808
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37623
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50769
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2721
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4684
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4842
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4900
84.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4845
83.7 IPS |
