MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4816
Single Precision Score
28010
Half Precision Score
30466
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Maflagulator |
| Upload Date | October 09 2024 06:14 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1509
280.7 IPS |
|
|
Image Classification (HP)
|
100% |
16432
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
18233
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16396
265.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19274
312.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
16657
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121030
141.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
119755
140.4 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
18943
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
16772
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
38130
453.1 IPS |
|
|
Face Detection (Q)
|
100% |
50312
597.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7280
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
102238
787.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
122125
954.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30628
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
219853
282.6 IPS |
|
|
Style Transfer (Q)
|
96% |
211620
273.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5745
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38195
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52417
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2988
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5250
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5162
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4740
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2801
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2775
48.0 IPS |
