MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19165
Single Precision Score
21384
Half Precision Score
19002
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 17 2024 07:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 4.00 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8989
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
9275
1.72 KIPS |
|
|
Image Classification (Q)
|
97% |
7653
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17077
276.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17901
290.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18920
306.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
92554
108.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
96315
112.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89917
105.4 IPS |
|
|
Object Detection (SP)
|
100% |
8237
653.4 IPS |
|
|
Object Detection (HP)
|
100% |
8785
696.8 IPS |
|
|
Object Detection (Q)
|
91% |
7531
601.8 IPS |
|
|
Face Detection (SP)
|
100% |
32954
391.6 IPS |
|
|
Face Detection (HP)
|
100% |
36925
438.8 IPS |
|
|
Face Detection (Q)
|
100% |
28224
335.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
39333
303.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41521
319.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
35476
277.3 IPS |
|
|
Style Transfer (SP)
|
100% |
192465
247.4 IPS |
|
|
Style Transfer (HP)
|
100% |
209909
269.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193195
249.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26351
973.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27284
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22651
836.4 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5217
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5184
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3013
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3108
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2757
47.6 IPS |
