MacBook Pro (16-inch, 2023)
Geekbench AI Score
4294
Single Precision Score
28241
Half Precision Score
32158
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sse |
| Upload Date | November 29 2024 05:00 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,6 |
| Motherboard | Mac14,6 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
14913
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
17671
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19442
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24765
401.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12875
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
107254
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105968
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1765
140.0 IPS |
|
|
Object Detection (HP)
|
99% |
16638
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
18473
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
36315
431.5 IPS |
|
|
Face Detection (Q)
|
100% |
46650
554.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6287
48.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
89268
687.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110637
864.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26517
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
207621
266.9 IPS |
|
|
Style Transfer (Q)
|
96% |
198284
255.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42749
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51742
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4755
81.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5433
93.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6591
113.9 IPS |
