MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18371
Single Precision Score
20432
Half Precision Score
17381
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SPD298 |
| Upload Date | September 26 2024 04:49 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 4.04 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7902
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8220
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
6238
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16743
271.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17639
285.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
17652
286.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
92274
107.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
95407
111.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
85927
100.7 IPS |
|
|
Object Detection (SP)
|
100% |
7936
629.5 IPS |
|
|
Object Detection (HP)
|
100% |
8431
668.7 IPS |
|
|
Object Detection (Q)
|
91% |
7218
576.7 IPS |
|
|
Face Detection (SP)
|
100% |
32827
390.1 IPS |
|
|
Face Detection (HP)
|
100% |
34082
405.0 IPS |
|
|
Face Detection (Q)
|
100% |
24839
295.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
38318
295.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40927
315.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
34552
270.0 IPS |
|
|
Style Transfer (SP)
|
100% |
187021
240.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204770
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
185271
239.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25031
924.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26207
967.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19424
717.2 IPS |
|
|
Text Classification (SP)
|
100% |
2698
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5214
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
4670
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2555
44.2 IPS |
