MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
18308
Single Precision Score
20263
Half Precision Score
17970
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 19 2024 08:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7969
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8156
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7198
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16989
275.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17165
278.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17924
290.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92317
107.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
95504
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89295
104.7 IPS |
|
|
Object Detection (SP)
|
100% |
7660
607.6 IPS |
|
|
Object Detection (HP)
|
100% |
8441
669.5 IPS |
|
|
Object Detection (Q)
|
91% |
7350
587.3 IPS |
|
|
Face Detection (SP)
|
100% |
32299
383.8 IPS |
|
|
Face Detection (HP)
|
100% |
35973
427.4 IPS |
|
|
Face Detection (Q)
|
100% |
26747
317.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
38312
295.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40283
310.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
33129
258.9 IPS |
|
|
Style Transfer (SP)
|
100% |
186077
239.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204903
263.4 IPS |
|
|
Style Transfer (Q)
|
96% |
188002
242.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25052
925.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25508
941.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21193
782.6 IPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4667
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4642
6.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2848
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2531
43.7 IPS |
