MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4848
Single Precision Score
29367
Half Precision Score
31623
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 05:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.8 IPS |
|
|
Image Classification (HP)
|
100% |
17100
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
18819
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1917
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16543
268.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19570
317.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
121881
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
120616
141.4 IPS |
|
|
Object Detection (SP)
|
100% |
1968
156.1 IPS |
|
|
Object Detection (HP)
|
100% |
21662
1.72 KIPS |
|
|
Object Detection (Q)
|
91% |
21602
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
4043
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
37320
443.4 IPS |
|
|
Face Detection (Q)
|
100% |
45170
536.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7392
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110992
855.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
130349
1.02 KIPS |
|
|
Style Transfer (SP)
|
100% |
30343
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
227487
292.4 IPS |
|
|
Style Transfer (Q)
|
96% |
216921
279.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5960
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45783
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55962
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2877
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5116
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4746
81.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2865
49.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2851
49.3 IPS |
